A note-making tool that turns a YouTube video into a structured source note and a wiki page. For tutorials, it creates a step-by-step guide instead of a summary.

Use it to turn talks, tutorials, or videos about a specific topic into searchable notes and Knowledge wiki pages.

It saves you from watching a video while manually recording its title, details, transcript, and key ideas.

How superhero-tech/super-brain configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to superhero-tech/super-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/superhero-tech/super-brain/main/.agents/skills/youtube/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/superhero-tech/super-brain

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/superhero-tech/super-brain/youtube/github.svg)](https://agentmods.dev/skills/superhero-tech/super-brain/youtube)

Your own site

<a href="https://agentmods.dev/skills/superhero-tech/super-brain/youtube"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/youtube/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/superhero-tech/super-brain/youtube"><img src="https://agentmods.dev/badge/skills/superhero-tech/super-brain/youtube.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,015 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Tool Misuse · line 136
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00046	$0.01015
Opus 5.5	$0.00018	$0.00406
Sonnet 5.5	$0.00009	$0.00203
Haiku 4.5	$0.00005	$0.00102

Measured 2mo ago against content hash 99774bf3d537, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

youtube scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/youtube/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

YouTube Video Summary

Turns a YouTube video into a structured note, then compiles that note into a wiki page in Knowledge.

When to use

You want a video turned into a clean note with metadata and key ideas
For tutorials the output is a step-by-step guide, not a summary

Requirements

This skill pulls metadata and subtitles with yt-dlp. Install it once:

brew install yt-dlp     # macOS
pip install yt-dlp      # everywhere else

Without yt-dlp the skill still works, just slower: take the video ID from the URL and search the web for the metadata, then ask the human to paste the transcript from YouTube's transcript panel. Say which route you are taking so they know why it takes longer.

How to invoke

/youtube https://youtube.com/watch?v=...
"Make a note from this video: [URL]"

How it works

1. Pull the metadata

yt-dlp --skip-download --print "%(title)s|||%(channel)s|||%(upload_date)s|||%(description).500s" "$ARGUMENTS"

If yt-dlp fails: extract the video ID from the URL and use web search.

2. Get the transcript

yt-dlp --skip-download --write-auto-subs --sub-langs "en" --sub-format "vtt" -o "/tmp/yt_transcript" "$ARGUMENTS"

Add more languages to --sub-langs when you need them. If it fails, ask the user to paste the transcript from YouTube.

3. Classify the video

Tutorial/Explainer: walkthrough, demo, how-to -> output a step-by-step guide
Idea/Opinion: thesis, interview, perspective -> output key ideas plus quotes

4. Generate the note

YAML frontmatter:

---
date: YYYY-MM-DD
title: "Video Title"
author: Channel Name
source: [YouTube URL]
topics:
  - topic-1
  - topic-2
source_type: video
---

This is the frontmatter of the source note that lands in 2-Inbox/ and later 5-Raw/. It is not wiki-page frontmatter - wiki pages use type: concept | entity. Do not copy this block onto the wiki page.

For tutorials:

# Title

## What this covers
[1-2 sentences]

## Step-by-Step
### Step 1: [Action]
[What to click, type, configure. Imperative.]

## Tips & Gotchas
- Practical notes and limitations

## Source
[URL]

Read the full file on GitHub · 138 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 138 lines · 46 tokens per session scan A 99774bf3d537

Subscribe to this mod's changes

youtube is a skill published in the GitHub repository superhero-tech/super-brain (827 stars, last pushed 11d ago), licensed MIT. It adds 46 tokens to every session and 1,015 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Research Writing and docs

youtube next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
youtubesuperhero-tech/super-brain	Skill	827	11d ago	MIT	A	46	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code

super-brain: Skill for Claude Code